Catalyzing Collaboration Over Competition: A Pan-American Science Diplomacy Framework for Developing AI Solutions for Climate Change in the Americas

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Abstract

As the dual crises of climate change and rapid artificial intelligence (AI) development converge, the Americas stand at a critical juncture. While AI offers transformative potential for climate mitigation and adaptation, ranging from advanced environmental monitoring to smarter disaster response, nationalistic policies and fragmented data governance threaten to undermine regional and global progress. This article proposes a Pan-American Science Diplomacy Framework designed to catalyze collaboration over competition in developing AI solutions for climate change. Drawing on comparative analyses of the United States, Canada, Brazil, and Chile, we highlight both the strengths and limitations of current national approaches to AI and climate action. We argue that harmonizing data standards, sharing infrastructure, and fostering inclusive governance, particularly by integrating Indigenous and local knowledge, are essential for equitable and effective AI-driven climate solutions. The framework centers on four pillars: infrastructure, data, talent, and governance, emphasizing the need for interoperable data protocols, pooled resources, and trust-building mechanisms. By leveraging existing regional institutions and diplomatic platforms, the Americas can model a new era of science diplomacy that accelerates innovation, bridges capacity gaps, and ensures that the benefits of AI for climate action are shared equitably across the hemisphere.

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